A5064494866- Data Visualization and Analytics
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- Video Analysis and Summarization
- Species Distribution and Climate Change
- Advanced Text Analysis Techniques
- COVID-19 epidemiological studies
- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Anomaly Detection Techniques and Applications
- Complex Network Analysis Techniques
- Data Stream Mining Techniques
- Water Quality Monitoring Technologies
- Network Security and Intrusion Detection
- Hydrological Forecasting Using AI
University of Louisiana at Lafayette
2016-2021
We propose a novel data-driven machine learning method using long short-term memory (LSTM)-based multi-stage forecasting for influenza forecasting. The aspects of the include following: 1) introduction LSTM to capture temporal dynamics seasonal flu and 2) technique influence external variables that includes geographical proximity climatic such as humidity, temperature, precipitation, sun exposure. proposed model is compared against two state-of-the-art techniques publicly available datasets....
Abstract We provide data-driven machine learning methods that are capable of making real-time influenza forecasts integrate the impacts climatic factors and geographical proximity to achieve better forecasting performance. The key contributions our approach both applying deep incorporation environmental spatio-temporal improve performance models. evaluate method on Influenza Like Illness (ILI) counts data, publicly available data sets. Our proposed outperforms existing known in terms their...
Processing high-volume, high-velocity data streams is an important big problem in many sciences, engineering, and technology domains. There are open-source distributed stream processing cloud platforms that offer low-latency at scale, but the visualization user-interaction components of these systems limited to visualizing outcome results. Visual analysis represents a new form where user has more control interactive capabilities either dynamically change visualization, analytics or...